by meta-llama · Agent Tool · ★ 800
Prompt Ops 🎉 New: Prompt Duel Optimizer (PDO) Published! We've published a new paper on PDO (Prompt Duel Optimizer) - an efficient label-free prompt optimization method using dueling bandits and Thompson sampling. PDO achieves state-of-the-art results on BIG-bench Hard and MS MARCO benchmarks. 📄 Read the paper: LLM Prompt Duel Optimizer: Efficient Label-Free Prompt Optimization (arXiv:2510.13907) 🧪 Try it yourself: Check out the Web of Lies use case demonstrating PDO on logical reasoning tasks ⭐ Star this repo and follow along - we'll be publishing a detailed tutorial notebook soon! What...
| Stars | 800 |
| Forks | 119 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 65.6967350377193/100 |
| Open Issues | 19 |
| Last Updated | 2026-04-15 |
| Created | 2025-03-14 |
| Platforms | python |
| Est. Tokens | ~2528k |
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prompt-ops is An open-source tool for LLM prompt optimization.. It is categorized as a Agent Tool with 800 GitHub stars.
prompt-ops is primarily written in Python.
You can find installation instructions and usage details in the prompt-ops GitHub repository at github.com/meta-llama/prompt-ops. The project has 800 stars and 119 forks, indicating an active community.
prompt-ops is released under the MIT license, making it free to use and modify according to the license terms.